Principal AI/ML Engineer · Fractional Head of AI & Data · GenAI/RAG Architect
I help companies and institutions turn AI from experimentation into production systems with measurable business impact. My AI delivery experience spans Maersk logistics, Proxify recruitment intelligence, and Avokati AI, a legal AI platform built to retrieve, structure, and reason across more than 1.2 million legal records.
Impact at a glance
12+
Years across AI, ML & academia
~80%
Screening time reduction (Proxify)
~25%
Matching accuracy improvement (Proxify)
~20%
Logistics efficiency improvement (Maersk)
11
Selected publications
I work with companies and institutions that need senior AI capability: strategy, architecture, delivery, and practical adoption.
AI roadmaps, technical direction, team setup, and delivery leadership from strategy to production.
Reliable RAG and document intelligence systems for legal, regulatory, and enterprise knowledge, built to answer with sources you can verify.
Production ML systems across NLP, computer vision, forecasting, anomaly detection, and decision support.
System architecture, data flows, evaluation logic, and risk controls before models are pushed into production.
Practical AI education for executives, technical teams, universities, and public institutions.
AI systems, research collaborations, and advanced training delivered across Europe, the United States, and Latin America.
Industry · Logistics
As Lead Data Scientist & AI Engineer at Ritech International AG, I led AI and machine-learning work for logistics operations connected to Maersk, one of the world's largest shipping and logistics companies. The system used real-time computer vision to support monitoring and optimization of container unloading and docking workflows. It started in California and later expanded to additional U.S. operational sites in Georgia and Virginia.
Industry · Recruitment
Candidate evaluation, matching, ranking, and screening automation replacing manual review and improving the speed and consistency of recruitment workflows.
Product · Legal AI
AI legal research across EU regulations, European Court of Human Rights judgments, ICJ decisions, Albanian and Kosovo law, and Venice Commission opinions.
Industry · Energy
Developed machine-learning workflows for energy price prediction, consumption forecasting, and optimization in a Norway-based energy context.
Ecosystem · Applied AI
As Co-Founder and CEO of AI Hub Albania, I lead the country's largest AI community focused on education, applied projects, research dissemination, and collaboration between talent, companies, universities, and institutions.
Research · Postdoctoral
Postdoctoral research in Cagliari focused on using machine learning and AI to analyze global patent-of-invention trends and support algorithmic novelty-score calculation for research and innovation analysis.
Education · Latin America
Delivered Data Science training for more than 800 students from Latin America through Tec de Monterrey, focused on applied data analysis, machine learning foundations, and practical AI/data workflows.
Education · Europe
Delivered Data Science training for more than 200 students at POLITEHNICA Bucharest, focused on practical data science, machine learning concepts, and applied analytical thinking.
Too many AI projects stop at the demo stage. My work is getting them into production, where they actually create value.
I am a Principal AI/ML Engineer, data science leader, lecturer, researcher, and entrepreneur based in Tirana. For more than 12 years, I have worked across industry and academia, leading AI and data science initiatives in enterprise logistics, recruitment intelligence, legal AI, public-sector document intelligence, energy forecasting, and applied machine learning research.
My background combines production AI delivery with academic depth. I studied Mathematics and Informatics Engineering at the University of Tirana and defended my doctoral thesis on Optimization Methods for Machine Learning Applications at the Bulgarian Academy of Sciences. Since 2014, I have taught Artificial Intelligence, Machine Learning, Data Science, Algorithms, and Applied Mathematics at university level.
In industry, I have led AI/ML work for global projects including logistics computer vision, recruitment automation, GenAI/RAG systems, forecasting, optimization, and document intelligence platforms. My focus is the full path from idea to production: data, architecture, models, evaluation, deployment, adoption, and measurable business impact.
As Co-Founder and CEO of AI Hub Albania, I work to strengthen the country's AI ecosystem through education, applied projects, public initiatives, and collaboration between companies, universities, institutions, and emerging AI talent.
I don't build AI because it is fashionable. I build systems that solve real problems.
Selected organizations & institutions
Industry & Applied AI
Academic
Research & Publications
My research connects mathematical optimization, machine learning, natural language processing, intelligent systems, edge AI, and applied AI. The focus is practical: methods that improve decision-making, automate expert work, and support real-world systems.
Research areas
Mathematical optimization methods for improving model performance, learning efficiency, and algorithmic decision-making.
Text analysis, candidate-job matching, job-title extraction, document understanding, and language-based decision support.
Retrieval-augmented generation, Graph RAG, embeddings, vector search, and institutional knowledge systems.
Machine learning for intelligent monitoring, intrusion detection, campus security, and decision-support applications.
Digital twin architectures, IIoT, anomaly detection, industrial intelligence, and AI-enabled operational insight.
Tiny transformers, real-time sensor fusion, RISC-V systems, embedded AI, and resource-constrained model deployment.
Publication · 2020
Machine learning · NLP · Optimization
Publication · 2021
NLP · Text classification · Job-title extraction
Publication · 2022
NLP · Candidate screening · Recruitment automation
Publication · 2023
NLP · Recruitment AI · Predictive analytics
Publication · 2023
Security AI · Intelligent monitoring · Decision support
Publication · 2025
Digital twins · Sustainability education · Education 4.0
Publication · 2025
IoT security · ML optimization · Applied cryptography
Publication · 2025
Digital twins · IIoT · Industrial AI
Publication · 2025
Digital twins · Anomaly detection · Real-time AI insight
Publication · 2025
Security AI · Autonomous systems · Radar/UAS coordination
Publication · 2026
Edge AI · Sensor fusion · Tiny transformers · RISC-V · Defense AI
I help organizations access senior AI leadership, architecture, and delivery capability without building a full internal AI department first.
Identify where AI can create real value: use cases, data readiness, risks, and a prioritized implementation roadmap.
Design and build reliable knowledge systems over documents, regulations, and internal data, from prototype to production.
Senior AI leadership for strategy, architecture, hiring, technical decisions, and delivery oversight.
Define the system architecture, data flows, model strategy, evaluation logic, and risk controls before development scales.
A senior-led AI/data team to build, test, and ship practical AI systems with clear ownership and delivery rhythm.
Practical AI education for executives, technical teams, universities, and institutions, designed around what people will actually use in their daily work.